3D Evolutionary Reconstruction of Scalar Fields in the Gas-Phase
An evolutionary reconstruction technique (ERT) was developed for three-dimensional (3D) reconstruction of luminescent objects, in particular turbulent flames for the first time. The computed tomography (CT) algorithm is comprised of a genetic algorithm (GA) and a ray-tracing software. To guide the r...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/11/2075 |
| _version_ | 1798040103812071424 |
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| author | Andreas Unterberger Andreas Kempf Khadijeh Mohri |
| author_facet | Andreas Unterberger Andreas Kempf Khadijeh Mohri |
| author_sort | Andreas Unterberger |
| collection | DOAJ |
| description | An evolutionary reconstruction technique (ERT) was developed for three-dimensional (3D) reconstruction of luminescent objects, in particular turbulent flames for the first time. The computed tomography (CT) algorithm is comprised of a genetic algorithm (GA) and a ray-tracing software. To guide the reconstruction process, a mask is introduced. It uses a Metropolis algorithm (MA) to sample locations where specific genetic operators can be applied. Based on an extensive parameter study, performed on several types of phantoms, the ability of our algorithm for 3D reconstructions of fields with varying complexities is demonstrated. Furthermore, it was applied to three experiments, to reconstruct the instantaneous chemiluminescence field of a bunsen flame, a highly turbulent swirl flame and the turbulent Cambridge-Sandia stratified flame. Additionally, we show direct and quantitative comparison to an advanced computed tomography of chemiluminescence (CTC) method that is based on an algebraic reconstruction technique (ART). The results showed good agreement between CTC and ERT using both phantom data from flame simulations, and experimental data. |
| first_indexed | 2024-04-11T22:02:54Z |
| format | Article |
| id | doaj.art-13338eea3228465b8d9b8e57116f1adf |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T22:02:54Z |
| publishDate | 2019-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-13338eea3228465b8d9b8e57116f1adf2022-12-22T04:00:49ZengMDPI AGEnergies1996-10732019-05-011211207510.3390/en12112075en121120753D Evolutionary Reconstruction of Scalar Fields in the Gas-PhaseAndreas Unterberger0Andreas Kempf1Khadijeh Mohri2Institute for Combustion and Gas Dynamics, Fluid Dynamics, University of Duisburg-Essen, 47057 Duisburg, GermanyInstitute for Combustion and Gas Dynamics, Fluid Dynamics, University of Duisburg-Essen, 47057 Duisburg, GermanyInstitute for Combustion and Gas Dynamics, Fluid Dynamics, University of Duisburg-Essen, 47057 Duisburg, GermanyAn evolutionary reconstruction technique (ERT) was developed for three-dimensional (3D) reconstruction of luminescent objects, in particular turbulent flames for the first time. The computed tomography (CT) algorithm is comprised of a genetic algorithm (GA) and a ray-tracing software. To guide the reconstruction process, a mask is introduced. It uses a Metropolis algorithm (MA) to sample locations where specific genetic operators can be applied. Based on an extensive parameter study, performed on several types of phantoms, the ability of our algorithm for 3D reconstructions of fields with varying complexities is demonstrated. Furthermore, it was applied to three experiments, to reconstruct the instantaneous chemiluminescence field of a bunsen flame, a highly turbulent swirl flame and the turbulent Cambridge-Sandia stratified flame. Additionally, we show direct and quantitative comparison to an advanced computed tomography of chemiluminescence (CTC) method that is based on an algebraic reconstruction technique (ART). The results showed good agreement between CTC and ERT using both phantom data from flame simulations, and experimental data.https://www.mdpi.com/1996-1073/12/11/2075tomographycombustiongenetic algorithmray-tracingMonte–Carlo sampling |
| spellingShingle | Andreas Unterberger Andreas Kempf Khadijeh Mohri 3D Evolutionary Reconstruction of Scalar Fields in the Gas-Phase Energies tomography combustion genetic algorithm ray-tracing Monte–Carlo sampling |
| title | 3D Evolutionary Reconstruction of Scalar Fields in the Gas-Phase |
| title_full | 3D Evolutionary Reconstruction of Scalar Fields in the Gas-Phase |
| title_fullStr | 3D Evolutionary Reconstruction of Scalar Fields in the Gas-Phase |
| title_full_unstemmed | 3D Evolutionary Reconstruction of Scalar Fields in the Gas-Phase |
| title_short | 3D Evolutionary Reconstruction of Scalar Fields in the Gas-Phase |
| title_sort | 3d evolutionary reconstruction of scalar fields in the gas phase |
| topic | tomography combustion genetic algorithm ray-tracing Monte–Carlo sampling |
| url | https://www.mdpi.com/1996-1073/12/11/2075 |
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